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Data Science Entry Level Remote Jobs in Virginia

Data Analyst

Arlington, VA ยท On-site +1

Our world class data scientists wring the value from data, and Agile helps us deliver solutions ... for remote work to be determined by the program manager and customer. Essential Functions:

Data Engineer

Arlington, VA ยท On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data ... Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering ...

Scientific Data Analyst

Vienna, VA ยท Remote

$85K - $115K/yr

Remote Clearance Required: Public Trust - Federal Client requires US Citizenship Alpha Omega is seeking a qualified looking for a Scientific Data Analyst to join our talented and innovative team ...

Proficiency in data science, deep learning, and neural networks. * Ability to travel to local clients as required by project or client needs. * Remote work is not permitted. ASSYST Benefits: We are ...

New

Data Engineer

Chantilly, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239091 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Bachelor's degree in a Computer Science or Engineering field * Ability to obtain Security ...

... life sciences organizations on cutting edge innovations - think AI, automation and data ... This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ...

Participate in data analysis TEMs along with NRFDS and/or Radiance contractors and NGA scientists ... M.S. degree in physics, engineering, or remote-sensing, or equivalent work experience. Experience ...

AI Researcher

Chantilly, VA ยท On-site +1

$99K - $225K/yr

As an advanced data scientist and researcher on our National Security team, you'll learn and apply ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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Data Science Entry Level Remote information

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
Infographic showing various Data Science Entry Level Remote job openings in Virginia as of July 2026, with employment types broken down into 8% Internship, 67% Full Time, 16% Part Time, 4% Temporary, and 5% Contract. Highlights an 100% Remote job distribution.
Data Analyst

Data Analyst

Redhorse Corporation

Arlington, VA โ€ข On-site, Remote

Full-time

Posted 29 days ago


Job description

Data Analyst
About the Organization
Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing whatโ€™s right, whatโ€™s smart, and what works.

Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional team player to serve as a Data Analyst for the Conditions Based Maintenance (CBM+) Program. Data Analysts will serve primarily as the operators of the PANDA platformโ€™s Data Cleaning, Analyzer and LRSF Applications. The Analysts will be selected primarily for technical and data acumen and the ability to rapidly learn a new software suite. This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer.
Essential Functions:
  • Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
    • sustain existing WUC predictive failure models
    • support selection and analysis of new WUC predictive failure models
    • field newly approved WUC predictive failure models
    • generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
    • generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
    • participate in user and stakeholder engagements and technical discussions
    • gather and provide feedback on best practices and recommended enhancements to the platform
    • document work performed in technical reports
Minimum Basic Requirements for Skills, Experience, Education and Credentials include:
  • Associate degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience. (We prefer Analysts with a technical background and an undergraduate degree but believe that practical technical experience is an acceptable substitute.)
  • Understanding of Weibull distribution and use for modeling part failures
  • Proven ability to drive key client communication and expectations
  • Ability to understand business functionality
  • Excellent communication and interpersonal skills
  • Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
  • Able to travel as needed to meet with government customers and stakeholders
Preferred Qualifications include:
  • Active Secret clearance
  • Experience as an Aircraft Maintenance Technician in the US Air Force or elsewhere in the DoD Is highly desired
  • Experience with Predictive Maintenance / Logistics
  • Experience with sensor-based failure predictions and modeling
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorseโ€™s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorseโ€™s sole discretion.
EOE/M/F/Vet/Disabled